Green Belt Course Topics
| Lesson | Topic |
| Overview | A top-level overview of the topics covered in this course |
| Why Six Sigma? | An interactive lesson to answer an important question |
| Recognizing an Opportunity | Linking your Green Belt activities to the organization’s vision and goals |
| Choosing the Project-Pareto Analysis | How to pick a winning project using Pareto Analysis |
| Assessing Six Sigma Projects | How to carefully assess Six Sigma project candidates to assure success |
| Develop Project Plan1-Working with teams | Team selection and dynamics; brainstorming; consensus decision making; nominal group technique |
| Develop project plan 2-Communicating with stakeholders | Stakeholder analysis, communication and planning, cross functional collaboration, and Force Field Analysis |
| Develop project plan 3-Project charter | Obtain a charter for your project |
| Develop Project Plan 4-Project planning | Work breakdown structures, DMAIC tasks |
| Develop Project Plan Lesson 5-Project Management | Project schedule management |
| Develop Project Plan 6-Dealing with obstacles | Obstacle avoidance tactics and management support strategies |
| high level maps 1-High level process maps | L-Maps, linking project charter Ys to L-Map processes |
| High level maps 2-Intermediate level process maps | Mapping the process from supplier to customer |
| VOC 1-Understanding customers | Kano Model, getting the voice of the customer using the critical incident technique |
| Principles of variation 1-Measuring success | How will I measure success? Are my measurements trustworthy? Learn about scales of measurement, data types, measurement error principles. |
| Principles of variation 2-Statistical studies | Enumerative and analytic studies; statistical process control principles; operational definitions |
| Establish baseline 1-Descriptive statistics | Descriptive statistics for measuring distribution location, spread, and shape |
| Establish baseline 2-Creating process behavior charts | Control charts for individual observations and moving ranges |
| Establish baseline 3-Understanding process behavior charts | Control chart pattern analysis |
| Establish baseline 4-Data distributions | Continuous probability distributions for Six Sigma: normal, Student’s t. |
| Establish baseline 5-Predicting process performance | Process capability analysis |
| Establish baseline 6-Estimating value stream yields | Rolled throughput yield, normalized yield, process sigma level |
| Establish baseline 7-Detailed process mapping | Create detailed pictures of the as-is process |
| Test theories with data 1-Estimating population characteristics from samples | Statistical inference |
| Stratify data 1-Data collection | Data collection and sampling for stratification |
| Stratify data 2-Identify drivers | Data stratification tools: tree diagrams, Pareto analysis, matrix diagrams, check sheets, defect location maps |
| Stratify data 3-Data distributions | Distributions-graphical data summaries. Histograms and frequency plots. |
| Stratify data 4-Look at CTQ by Two or More X Drivers | Multi-Vari Charts |
| Set goals for the outputs 1-Goal setting | Benchmarking as an aid in goal setting |
| Set goals for outputs 2-Risk reduction | Project FMEA |
| Focus problem statement-Opportunity Maps | Use activity maps to identify value added activities |
| Develop theories 1-Listing potential causes | Brainstorming, cause-and-effect diagrams (Ishikawa diagrams, fishbone diagrams) |
| Test theories with data 1-Validating assumptions | Testing common assumptions: data type, independence, normality |
| Test theories with data 2-Experimenting | Experimentation concepts |
| Test theories with data 3-Investigating drivers 1 | Testing one way classifications: t-tests |
| Model cause and effect 1-Investigating drivers 2 | Correlation analysis, scatter plots |
| Measurement systems analysis 1-Measurement error | Analysis of continuous data measurement systems (taught here, but used earlier in actual projects) |
| Determine improvement strategy 1-Implementation planning and performance prediction | Improvement project planning, pilot study, simulation |
| Implement 1-Full-scale implementation | Institutionalize your changes |
| Implement 2-Control system design | Process control planning, process control principles, choosing the process elements to monitor, approaches to process control, and next steps. |
| Implement 3-Creating the new system | Process deployment maps |
| Implement 4-Metrics | Dashboards for process control and improvement |
| Implement 5-Continuous improvement | Training needs analysis, continuous improvement with KAIZEN, project closure |
GD Star Rating
loading...
loading...
